Multiply-Robust Causal Change Attribution

Replication files for

Quintas-Martínez, V., Bahadori, M. T., Santiago, E., Mu, J. and Heckerman, D. "Multiply-Robust Causal Change Attribution" Proceedings of the 41st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024.

File contents:

• simulations1.py runs the first set of simulations reported in the paper.
• simulations2.py runs the second set of simulations reported in the paper.
• empirical.py runs the empirical application.
• cps2015.csv is the data for the empirical application.
• mr_attribution.py contains the main code for the causal change attribution estimator.